
% Table created by stargazer v.5.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
% Date and time: Fri, Apr 22, 2022 - 21:13:36
\begin{table}[!htbp] \centering 
  \caption{Full regression output for Table A-19} 
  \label{table_manif_german_cl} 
\begin{tabular}{@{\hspace{-10pt}}l@{\hspace{-10pt}}cccccccc} 
\toprule 
 & \multicolumn{2}{c}{``germany''} & \multicolumn{2}{c}{German terms} & \multicolumn{2}{c}{Navy terms} & \multicolumn{2}{c}{Militarist groups} \\ 
 & (1) & (2) & (3) & (4) & (5) & (6) & (7) & (8)\\ 
\midrule  
\\[-2.1ex] $\Delta\textrm{IPW}_{1885}$ & 0.038 & 0.058 & 0.034 & 0.054 & $-$0.035 & 0.004 & $-$0.041$^{*}$ & $-$0.035 \\ 
  & (0.029) & (0.042) & (0.030) & (0.041) & (0.027) & (0.022) & (0.021) & (0.024) \\ 
 \addlinespace 
 const\_frac\_secondary $\times$ as.factor(year)1892 &  & 1.091$^{**}$ &  &  &  & 0.533 &  & 0.680 \\ 
  &  & (0.426) &  & (0.000) &  & (0.460) &  & (0.528) \\ 
 \addlinespace 
 const\_frac\_secondary $\times$ as.factor(year)1895 &  & 1.702$^{***}$ &  & 0.650$^{***}$ &  & 0.562 &  & 0.868 \\ 
  &  & (0.450) &  & (0.131) &  & (0.434) &  & (0.586) \\ 
 \addlinespace 
 const\_frac\_secondary $\times$ as.factor(year)1900 &  & 1.014$^{***}$ &  & 0.012 &  & 0.562 &  & 1.382$^{*}$ \\ 
  &  & (0.334) &  & (0.339) &  & (0.399) &  & (0.730) \\ 
 \addlinespace 
 const\_frac\_secondary $\times$ as.factor(year)1906 &  & 1.654$^{***}$ &  & 0.544 &  & $-$0.164 &  & 1.087$^{*}$ \\ 
  &  & (0.492) &  & (0.420) &  & (0.432) &  & (0.627) \\ 
 \addlinespace 
 const\_frac\_secondary $\times$ as.factor(year)1910 &  & 1.376$^{**}$ &  & 0.342 &  & $-$0.770$^{*}$ &  & 1.265$^{*}$ \\ 
  &  & (0.516) &  & (0.458) &  & (0.456) &  & (0.657) \\ 
 \addlinespace 
 const\_frac\_secondary $\times$ as.factor(year)1911 &  &  &  & $-$1.062$^{**}$ &  &  &  &  \\ 
  &  & (0.000) &  & (0.442) &  & (0.000) &  & (0.000) \\ 
 \addlinespace 
\midrule  
Initial Mf x year &  & x &  & x &  & x &  & x \\ 
Observations & 5,147 & 5,147 & 5,147 & 5,147 & 5,147 & 5,147 & 5,147 & 5,147 \\ 
R$^{2}$ & 0.146 & 0.149 & 0.145 & 0.148 & 0.356 & 0.358 & 0.104 & 0.106 \\ 
Adjusted R$^{2}$ & 0.060 & 0.062 & 0.060 & 0.062 & 0.292 & 0.293 & 0.015 & 0.015 \\ 
\bottomrule 
\textit{Note:}  & \multicolumn{8}{l}{$^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\ 
 & \multicolumn{8}{l}{\parbox[t]{0.4\textwidth}{
        Manifesto-level regressions. Dependent variable is number of uses of
        specified term relative to total length of manifesto, standardized.
        All models include constituency, party, and year fixed effects.
        ``German terms'' are ``germany,'' ``kaiser,'' ``teuton,'' ``prussia,''
        and ``fatherland,'' ``Navy terms'' are ``navy,'' ``naval,''
        ``dreadnought,'' ``battleship,'' and ``fleet,''
        ``Militarist groups'' are ``national service league'' and
        ``navy league.'' Standard errors clustered by county in parentheses.}} \\ 
\end{tabular} 
\end{table} 
